[lightning post assumes invicibility]
-The Popular Author definitely isn't trying to be cult leader. He just
+The Popular Author obviously never wanted to be the center of a personality cult; it just happened to him anyway because he's better at writing than everyone else.
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If I have a "blegg" concept for blue egg-shaped objects—uh, this is [our](https://www.lesswrong.com/posts/4FcxgdvdQP45D6Skg/disguised-queries) [standard](https://www.lesswrong.com/posts/yFDKvfN6D87Tf5J9f/neural-categories) [example](https://www.lesswrong.com/posts/yA4gF5KrboK2m2Xu7/how-an-algorithm-feels-from-inside), just [roll with it](http://unremediatedgender.space/2018/Feb/blegg-mode/)—what that _means_ is that (at some appropriate level of abstraction) there's a little [Bayesian network](https://www.lesswrong.com/posts/hzuSDMx7pd2uxFc5w/causal-diagrams-and-causal-models) in my head with "blueness" and "eggness" observation nodes hooked up to a central "blegg" category-membership node, such that if I see a black-and-white photograph of an egg-shaped object, I can use the observation of its shape to update my beliefs about its blegg-category-membership, and then use my beliefs about category-membership to update my beliefs about its blueness. This cognitive algorithm is useful if we live in a world where objects that have the appropriate statistical structure—if the joint distribution P(blegg, blueness, eggness) approximately factorizes as P(blegg)·P(blueness|blegg)·P(eggness|blegg).
-"Category boundaries" are just a _visual metaphor_ for the math: the set of things I'll classify as a blegg with probability greater than _p_ is conveniently _visualized_ as an area with a boundary in blueness–eggness space. If you _don't understand_ the relevant math and philosophy—or are pretending not to understand only and exactly when it's politically convenient—you might think you can redraw the boundary any way you want. But you can't, because the "boundary" visualization is _derived from_ a statistical model which corresponds to _empirically testable predictions about the real world_.
-
-Fucking with category boundaries corresponds to fucking with the model, which corresponds to fucking with your ability to interpret sensory data. The only two reasons you could _possibly_ want to do this would be to wirehead yourself (corrupt your map to make the territory look nicer than it really is, making yourself _feel_ happier at the cost of sabotaging your ability to navigate the real world) or as information warfare (corrupt shared maps to sabotage other agents' ability to navigate the real world, in a way such that you benefit from their confusion).
+"Category boundaries" are just a _visual metaphor_ for the math: the set of things I'll classify as a blegg with probability greater than _p_ is conveniently _visualized_ as an area with a boundary in blueness–eggness space. If you _don't understand_ the relevant math and philosophy—or are pretending not to understand only and exactly when it's politically convenient—you might think you can redraw the boundary any way you want, but you can't, because the "boundary" visualization is _derived from_ a statistical model which corresponds to _empirically testable predictions about the real world_. Fucking with category boundaries corresponds to fucking with the model, which corresponds to fucking with your ability to interpret sensory data. The only two reasons you could _possibly_ want to do this would be to wirehead yourself (corrupt your map to make the territory look nicer than it really is, making yourself _feel_ happier at the cost of sabotaging your ability to navigate the real world) or as information warfare (corrupt shared maps to sabotage other agents' ability to navigate the real world, in a way such that you benefit from their confusion).
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-[ppl don't click links—quick case for AGP—80% is not 100, but]
+So far, I've mostly been linking to [Anne Lawrence](http://www.annelawrence.com/autogynephilia_&_MtF_typology.html) or [Kay Brown](https://sillyolme.wordpress.com/faq-on-the-science/) for the evidence for this rather than writing up my own take (I already have enough problems with writing quickly, that I don't feel motivated to spend wordcount making a case that other people have already made), but maybe that was a tactical mistake on my part, because people don't click links, and so if I don't include at least _some_ of the evidence inline in my own text, hostile readers (that's you!) will write me off as making unjustified assertions.
+
+And honestly, realistically? I suspect it _mostly_ wasn't the research literature that convinced me, as unscientific as that sounds to say out loud. (This blog is not about sounding scientific.) Research can obfuscate as well as clarify. Even a very educated layman can be brought to vexation looking back and forth between Lawrence and [Veale](/papers/veale-evidence_against_a_typology.pdf), struggling to look up the definitions of complicated statistics, all the MAXCOVs and _p_ values and Cohen's ω (_omega_?!—but I'd grown [so comfortable with _d_](/2019/Sep/does-general-intelligence-deflate-standardized-effect-sizes-of-cognitive-sex-differences/)), before eventually throwing her hands up in despair: who am I to know? Who is anyone to know?
+
+So if it wasn't the science literature, what was it? I'm talking about shit like—in April 2018, the /r/MtF subreddit [put up a survey](http://archive.is/auSxF)
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projects / Ultimately_Untrue_Thought.git / blobdiff